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Semantics-Based Aspect Composition

Semantics-Based Aspect Composition. Participants. Awais Rashid, Lancaster University, UK Ruzanna Chichyan, Lancaster University, UK Ana Moreira, New University of Lisbon, Portugal Mansour Zand, University of Nebraska Omaha, USA Jiang Ningkang, E China Normal University, Shanhai

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Semantics-Based Aspect Composition

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  1. Semantics-Based Aspect Composition

  2. Participants • Awais Rashid, Lancaster University, UK • Ruzanna Chichyan, Lancaster University, UK • Ana Moreira, New University of Lisbon, Portugal • Mansour Zand, University of Nebraska Omaha, USA • Jiang Ningkang, E China Normal University, Shanhai • Wu Yan, University of Nebraska Omaha, USA • Jon Whittle, George Mason University, USA

  3. What is Semantics-Based Aspect Composition? • Leveraging the semantics of the underlying language in composition • Defining a semantics for composition languages • Composition using the semantics of the domain of the application We focused on (3)

  4. Approaches Discussed • Lancaster approach for AORE • Natural language semantics (e.g., verb categories, synonym lists) • Whittle/Araujo/Moreira • Classification of concepts • Domain-specific modeling languages (DSMLs) • Comes with semantics of concepts but may be limited to specific domains

  5. Where does the semantics come from? • Semantic information usually not present • Must be explicitly given or derived • Explicitly given: • Annotations/DSMLs/etc. • Derived: • Alpha (TU Darmstadt) • From natural language semantics

  6. Advantages • Decouples the aspect: don’t refer to name or number that may change • Could potentially avoid many of the consistency problems associated with composition

  7. Avenues for Future Research • Trade off of providing the semantic information versus the ROI in using it • Cf.static analyzers • Relevancy: given an ontology, how can I quantify how relevant or related concepts are to each other? Chair->session chair->table. Could possibly use context? • Claim: semantics-based architecture composition less well understood than requirements • DSMLs: • Semantics usually implicit in code generation tools • Domain-specific composition strategies

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